An Open MPI-based Cloud Computing Service Architecture

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "An Open MPI-based Cloud Computing Service Architecture"

Transcription

1 An Open MPI-based Cloud Computing Service Architecture WEI-MIN JENG and HSIEH-CHE TSAI Department of Computer Science Information Management Soochow University Taipei, Taiwan {wjeng, Abstract : Cloud computing is generally accepted as the workable solution for computation intensive problems such as big data analysis. Among the major building blocks for the underlying infrastructure, MPI (Message Passing Interface) is one of the most effective solutions. This study aims to propose a Java-based service architecture using Open MPI for cloud computing operations. Web-based interfaces are provided for further inquiries of the operation results. Additional interfaces are supported for computational needs as well for users who are not familiar with the language details. Simple protocol is available for Java developers to transfer their job for further processing. Professional MPI library function users can integrate their codes with Java programs and therefore get to improve the way they manage their MPI programs more flexibly. Keywords- Open MPI; JAVA; Spring Framework; cloud computing I. INTRODUCTION With the rapidly growing Internet and Information Technology, cloud computing [1, 2] became a reality for a variety of applications. It refers to the technology of using remote high-capacity computing resources via the ubiquitous Internet services intended for high-performance utility type of computing. With or without the use of cloud computing, the popular use of Internet and its applications have already become part of our lives. The amount of information computers handle increase tremendously in an enormous way, issues such as big data analytics [3] have been brought to our attentions. Local computers in general are not designed for effective processing, therefore, there is an immediate need for a cloud computing architecture in order to provide available computing resources. Parallel and distributed computing refers to the computational technique by dividing the computational problem into smaller problems whereas each of the tasks may be performed on separate computing resources. The intermediate results then are put together and return as the final solution to the calling application. Both MPI and Hadoop [4] fall into this computational technique category and have been heavily used recently. MPI works with major languages to perform the computation and communication. The major drawback is that it has to be customized by experienced developers in order to arrange all the collective operations. The original MPI library version does not facilitate either Internet computing or Web programming interfaces and thus open source Java-based Open MPI [5] implementation paves the way for the development of many diversified applications. Hadoop has better support from Java; however, its application coding styles are limited due to the limitations from MapReduce operation. ICICCT 2013 ) Singapore on January 19-20, 2013 Page. 65

2 This study proposes an Open MPI-based cloud computing service architecture, using Java to develop the web-based application. Java-based application programming interfaces can be harnessed to save the user from using the script or manual instructions. The submission of user-defined MPI programs can be conducted over Web interfaces or server end directly. Network socket mechanisms are exploited to implement the required communication services for independent service modules. Multiple-user user services are provided by using concurrent threads, thread pool of resources are used in the server for better management. In order to monitor the execution status of MPI programs, Java-based Web interface implementation is provided to retrieve the information after the identification is validated. JSP and Servlet are the two major implementations for Java Web application development, whereas JSP codes are transformed into Servlet ones immediately after its first invocation. Program framework is frequently used for developing Java programs, Spring Framework [6,7] is employed in this study as the Web page development framework. Lightweight Container is used in its kernel to realize IoC (Inversion of Control) to complete the setting in the configuration file rather than using the in-line setting. Program components with loose coupling are therefore testable with this container approach. Application programs done this way further are benefited from great deal simplification in both component and maintenance. Section one briefs the research motivation and goals and introduces the programming framework of this study. Section two compares different proposed design approaches, specifically MPI and other cloud computing implementations. Section three addresses the modes of use along with the protocols categorized by the types of prospective users. s. Section four introduces the hardware platform used by this study. Section five illustrates the overall system component and the way how the integrated solution provides the cloud computing service. Final section concludes the study and addresses future research directions. II. LITERATURE SURVEY A. Open MPI Open MPI is an open source library implementation complying with the MPI-2 standard. It is composed of three major parts [8] as shown in Figure 1. MCA (MPI Component Architecture), a major part of MPI, provides the fundamental operation mechanism for other parts of the MPI architecture. Component Framework is responsible for the management of all modules in which functional programs and connectors are contained. MAC relays the requests to the underlying modules upon receiving the operation needs. Figure 2 illustrates the way how an Open MPI code works with a Java program Ring.java [9] to conduct the operation in a Ring topological architecture. ICICCT 2013 ) Singapore on January 19-20, 2013 Page. 66

3 Figure 1. Open MPI Component Open MPI programs check the availability of all the participating computing nodes of the clustered architecture for its operational status. Problematic node, if any, is displayed in the case of connection failure. The developed programs were interpreted into class files first and the command line instruction is entered as mpiexec host master, slave1, slave2 java Ring where master, slave1, and slave2 are the computing nodes used in this study and will be detail explained in Section four. B. Runtime.exec() Figure 2. Ring.java ICICCT 2013 ) Singapore on January 19-20, 2013 Page. 67

4 Figure 3. Runtime.exec() example. Runtime.exec() is a built-in nethod of the java.lang.runtime class used for invoking an external program. A simple example of this method use is shown in Figure 3 for the Linux Runtime.exec() operation. The above program runs javac command by using Runtime.exec() method. BufferStream is used to store either the output or the erroneous information and provides the execution status after its completion. This study makes use of the Java method as the means to invoke the MPI programs. C. Thread Pool Thread is not reusable and its creation is a resource demanding process. The performance of a socket server can be degraded by a great deal with repetitive thread creation requests. Thread pool [10] pre-creates the thread and supplies the thread upon request. This study utilizes the design of thread pool to manage the system resources for MPI program operations. D. Mybatis Framework The pitfall of embedding the SQL codes in the programs to access to and from the database is the recompilation problem when the codes have to be changed. The Mybatis Framework[6] approach takes on the problem by separating the SQL codes from the host languages. XML (Extensible Markup Language) is used to write the SQL codes and mapping is done to the host language in the later phase. The database programming is done in this fashion to facilitate the access of user profile information, MPI function execution history, and web page information. E. Eucalyptus and Amazon EC2 Frequently used cloud computing platforms are a remotely accessible personal computer node. One of the most famous examples, Amazon EC2, offers a fee-based remote virtual host service using VPS (Virtual Private Server) in which MPI works as its underlying computational architectural building blocks. The management of the cloud computing underlying architecture becomes an important issue with different settings. ICICCT 2013 ) Singapore on January 19-20, 2013 Page. 68

5 Adapt to work with a Linux environment, Eucalyptus [11] is designed to provide the cloud computing platform management with Amazon EC2 interfaces. Important components include Cloud Controller, Cluster Controller, and Node Controller to organize its architecture with adequate management web interfaces. Different from the computational platforms such as Amazon EC2 and Eucalyptus, this study aims to propose a cloud computing service platform with great deals of flexibility of use. Via the help of Java method invocation, customized MPI library function services can be supported for both professional MPI developers and less skilled users. III. DEFINITION OF DIFFERENT USERS In addition to the system administrator, three types of users are classified according to their MPI proficiency levels, they are general users, advanced users, and MPI developer users. The brief definitions are as follows. A. General users General users are the people who directly use the available MPI codes with the help of Web interfaces. They are able to upload the data for computation and conduct the MPI code invocation. B. Advanced users The general program developers who make use of the proposed MPI Connect method invocation wrapped using Java JAR and retrieve the execution status on demand. This approach alleviate the local computing node from the heavy use of local resources by submitting the data for remote processing. C. MPI developer users The users who are capable of developing MPI codes and further accommodate their codes into the existing MPI services. D. System administrator The administration staffs who are responsible for manage the platform users, execution history, and system configuration setup information. IV. HARDWARE ARCHITECTURE The experimental setup consists of the cluster of three computers running Ubuntu Linux operating system with Open MPI installed used for the underlying cloud computing hardware component. Figure 4 illustrate the architectural view of the setup. The Master computer node is equipped with two network cards for their corresponding inbound and outbound purposes. It takes the MPI invocation requests and invokes the MPI codes by Open MPI interfaces. The associated database software MySQL and the Web server software are both installed on the server. Slave1 and Slave2 are excluded from the outside world and they work as the computing nodes for providing services. ICICCT 2013 ) Singapore on January 19-20, 2013 Page. 69

6 V. SOFTWARE SYSTEM COMPONENTS Figure 5 shows the conceptual view of the Software system components. The system is composed of three major components, Web component, SQL component, and MPI component. Each of the three components can be running on a separate machine if necessary. The three are installed and run on the same machine in our experiment. The fourth component, MPI Connect, runs on different machine to provide the connection service for advanced users and the details are explained in Section three. Figure 5. Software System Components. A. Web Component This major Web component consists of two Web services, Spring Framework and Mybatis Framework- based programming component, and independently installed MPI Client component to establish the connection with the MPI Server. 1) Web USER Different uer/administration interfaces are provided according to the service targets. The users are able to use the four functions and services after the successful log-in process. The functions are MPI code invocation, Uploading the data for MPI code execution, Execution results and status inquiry, and History of use inquiry. 2) Web MANAGER ICICCT 2013 ) Singapore on January 19-20, 2013 Page. 70

7 The functions and services dedicated for the system administrator after successful logon to the administrator interface include User profile management, MPI code execution history management, and MPI Server configuration setting. 3) Spring and Mybatis Web page programming is done collectively by Controller, Manager, and Dao of Spring Framework. Controller handles the data flow in between the Web interfaces and invokes the corresponding programs of the Manager. MPI client will be activated if the input is a request for MPI code invocation. MPI Server configuration setting is done in the same way. SQL codes benefit from the integration of Dao design and Mybatis Framework. 4) MPI Client Specific method, designed by this study, is used by Spring s Manager and sets up the connection session with MPI Server using Socket Client design. The time to terminate its session is determined by the return values. B. SQL Component MySQL is chosen as the database management software and the archived information include user profile (user account, password, privilege) and MPI code execution history. C. MPI Component It consists of MPI Server, MPI Dispatch Module, Open MPI, and Record System. 1) MPI Server MPI Server connects with MPI Client by using the proposed Socket Server mechanism. The thread design underlying the Socket Server is based on the Thread Pool notion. The Thread Pool parameter setting is stored independently in XML format for easy of modification. When the system administrator requests a change of setting by Web interface, the corresponding configuration setting child program within the MPI Server is invoked to make the change. Both program execution and data file requests are done in the same manner. 2) MPI Dispatch Module In order to work with the characteristic of the system for a String-only data transmission, Data Conversion Engine is provided for the format transformation. Figure 6 displays the step-by-step conversion engine for getting the resulting String format. The input data is formatted first by converting into the Generic Object type, Object to Byte conversion is performed as the second operation, and a Byte-to-String conversion is conducted as the last operation. Runtime.exec() can then be used for data transmission. The invoked MPI codes reverses the process and the original data format can be recovered for computation. The same MPI Dispatch Module is used again once the MPI code completes its operation. ICICCT 2013 ) Singapore on January 19-20, 2013 Page. 71

8 Figure 6. Data Conversion Engine. 3) Open MPI This constitutes the core of our study, it includes all the Open MPI computation by means of the MPI Dispatch Module invocation. With the help of Ring program, the available computing resources will be compiled into a list for user s selection. All the MPI code execution status will be recorded and therefore the associated costs can be estimated. 4) Record System The status, output message, and execution results will be stored in the archive for later retrieval. The archived message is purged periodically in order to keep the history data size manageable. VI. CONCLUSION AND FUTURE WORK MPI has been used extensively in high performance computing applications which may involve huge amount of data in nature. To complement its language features, host languages such as Java is commonly used to provide a comprehensive solution for many applications. Lacking of the language constructs for different kinds of users, it has not been successful to find a turn-key solution to combine the two. This study proposes a comprehensive cloud computing architecture by using the improved Java-Open MPI invocation mechanism to different users. Web interface services are offered to enable the execution of MPI codes over the Internet. Due to the network transmission speed limitation, the communication time may be too long and the chances for possible network failure may result. The fault tolerance and disaster recovery issues can be investigated and hopefully provide more stable services in the near future. However, the initial result of our proposed architecture sheds s the light for a viable cloud computing architecture. REFERENCES [1] M. Armbrust, A. Fox, R. Griffith, et al.a. D. Joseph, R. Katz and A. Konwinski, et al., A View of Cloud Computing, Communications of the ACM, vol. 53, no. 4, 2010, pp [2] I. Foster, Y. Zhao, I. Raicu and S. Lu, Cloud Computing and Grid Computing 360-Degree Compared, Grid Computing Environments Workshop, GCE '08, pp [3] D. Howe, et al., Big data: The future of biocuration, Nature, 455, 2008, pp [4] T. White, Hadoop: The definitive guide, 2nd Edition, O'Reilly Media, ICICCT 2013 ) Singapore on January 19-20, 2013 Page. 72

9 [5] E. Gabriel, et al., Open MPI: Goals, Concept, and Design of a Next Generation MPI Implementation, Lecture Notes in Computer Science, vol. 3241, 2004, pp [6] C. Ho and R. Harrop, Pro Spring 3, Apress, [7] K. Montgomery, et al., Spring: A general framework for collaborative, real-time surgical simulation, Medicine Meets Virtual Reality. Amsterdam: IOS Press, [8] J. M. Squyres and A. Lumsdaine, The Component Architecture of Open MPI: Enabling Third-Party Collective Algorithms, Component Models and System for Grid Applications, vol. III, 2005, pp [9] J. Hursey and R. L. Graham, Building a Fault Tolerant MPI Application: A Ring Communication Example, Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW), 2011 IEEE International Symposium on, pp [10] J. M. Smith, et al., Activating Networks, Computer, vol. 32, Issue 4, 1999, pp [11] D. Nurmi, et al., The Eucalyptus Open-Source Cloud-Computing System, Cluster Computing and the Grid, CCGRID '09. 9th IEEE/ACM International Symposium on, pp ICICCT 2013 ) Singapore on January 19-20, 2013 Page. 73

Final Project Proposal. CSCI.6500 Distributed Computing over the Internet

Final Project Proposal. CSCI.6500 Distributed Computing over the Internet Final Project Proposal CSCI.6500 Distributed Computing over the Internet Qingling Wang 660795696 1. Purpose Implement an application layer on Hybrid Grid Cloud Infrastructure to automatically or at least

More information

AN IMPLEMENTATION OF E- LEARNING SYSTEM IN PRIVATE CLOUD

AN IMPLEMENTATION OF E- LEARNING SYSTEM IN PRIVATE CLOUD AN IMPLEMENTATION OF E- LEARNING SYSTEM IN PRIVATE CLOUD M. Lawanya Shri 1, Dr. S. Subha 2 1 Assistant Professor,School of Information Technology and Engineering, Vellore Institute of Technology, Vellore-632014

More information

Cloud Storage Solution for WSN Based on Internet Innovation Union

Cloud Storage Solution for WSN Based on Internet Innovation Union Cloud Storage Solution for WSN Based on Internet Innovation Union Tongrang Fan 1, Xuan Zhang 1, Feng Gao 1 1 School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang,

More information

Distributed Framework for Data Mining As a Service on Private Cloud

Distributed Framework for Data Mining As a Service on Private Cloud RESEARCH ARTICLE OPEN ACCESS Distributed Framework for Data Mining As a Service on Private Cloud Shraddha Masih *, Sanjay Tanwani** *Research Scholar & Associate Professor, School of Computer Science &

More information

UPS battery remote monitoring system in cloud computing

UPS battery remote monitoring system in cloud computing , pp.11-15 http://dx.doi.org/10.14257/astl.2014.53.03 UPS battery remote monitoring system in cloud computing Shiwei Li, Haiying Wang, Qi Fan School of Automation, Harbin University of Science and Technology

More information

Apache Hadoop. Alexandru Costan

Apache Hadoop. Alexandru Costan 1 Apache Hadoop Alexandru Costan Big Data Landscape No one-size-fits-all solution: SQL, NoSQL, MapReduce, No standard, except Hadoop 2 Outline What is Hadoop? Who uses it? Architecture HDFS MapReduce Open

More information

Resource Scalability for Efficient Parallel Processing in Cloud

Resource Scalability for Efficient Parallel Processing in Cloud Resource Scalability for Efficient Parallel Processing in Cloud ABSTRACT Govinda.K #1, Abirami.M #2, Divya Mercy Silva.J #3 #1 SCSE, VIT University #2 SITE, VIT University #3 SITE, VIT University In the

More information

HDFS Cluster Installation Automation for TupleWare

HDFS Cluster Installation Automation for TupleWare HDFS Cluster Installation Automation for TupleWare Xinyi Lu Department of Computer Science Brown University Providence, RI 02912 xinyi_lu@brown.edu March 26, 2014 Abstract TupleWare[1] is a C++ Framework

More information

Real Time Network Server Monitoring using Smartphone with Dynamic Load Balancing

Real Time Network Server Monitoring using Smartphone with Dynamic Load Balancing www.ijcsi.org 227 Real Time Network Server Monitoring using Smartphone with Dynamic Load Balancing Dhuha Basheer Abdullah 1, Zeena Abdulgafar Thanoon 2, 1 Computer Science Department, Mosul University,

More information

Enhancing Dataset Processing in Hadoop YARN Performance for Big Data Applications

Enhancing Dataset Processing in Hadoop YARN Performance for Big Data Applications Enhancing Dataset Processing in Hadoop YARN Performance for Big Data Applications Ahmed Abdulhakim Al-Absi, Dae-Ki Kang and Myong-Jong Kim Abstract In Hadoop MapReduce distributed file system, as the input

More information

An Efficient Checkpointing Scheme Using Price History of Spot Instances in Cloud Computing Environment

An Efficient Checkpointing Scheme Using Price History of Spot Instances in Cloud Computing Environment An Efficient Checkpointing Scheme Using Price History of Spot Instances in Cloud Computing Environment Daeyong Jung 1, SungHo Chin 1, KwangSik Chung 2, HeonChang Yu 1, JoonMin Gil 3 * 1 Dept. of Computer

More information

An Experimental Study of Load Balancing of OpenNebula Open-Source Cloud Computing Platform

An Experimental Study of Load Balancing of OpenNebula Open-Source Cloud Computing Platform An Experimental Study of Load Balancing of OpenNebula Open-Source Cloud Computing Platform A B M Moniruzzaman 1, Kawser Wazed Nafi 2, Prof. Syed Akhter Hossain 1 and Prof. M. M. A. Hashem 1 Department

More information

Virtual Machine Based Resource Allocation For Cloud Computing Environment

Virtual Machine Based Resource Allocation For Cloud Computing Environment Virtual Machine Based Resource Allocation For Cloud Computing Environment D.Udaya Sree M.Tech (CSE) Department Of CSE SVCET,Chittoor. Andra Pradesh, India Dr.J.Janet Head of Department Department of CSE

More information

Analysis and Research of Cloud Computing System to Comparison of Several Cloud Computing Platforms

Analysis and Research of Cloud Computing System to Comparison of Several Cloud Computing Platforms Volume 1, Issue 1 ISSN: 2320-5288 International Journal of Engineering Technology & Management Research Journal homepage: www.ijetmr.org Analysis and Research of Cloud Computing System to Comparison of

More information

A FRAMEWORK FOR MANAGING RUNTIME ENVIRONMENT OF JAVA APPLICATIONS

A FRAMEWORK FOR MANAGING RUNTIME ENVIRONMENT OF JAVA APPLICATIONS A FRAMEWORK FOR MANAGING RUNTIME ENVIRONMENT OF JAVA APPLICATIONS Abstract T.VENGATTARAMAN * Department of Computer Science, Pondicherry University, Puducherry, India. A.RAMALINGAM Department of MCA, Sri

More information

Supply Chain Platform as a Service: a Cloud Perspective on Business Collaboration

Supply Chain Platform as a Service: a Cloud Perspective on Business Collaboration Supply Chain Platform as a Service: a Cloud Perspective on Business Collaboration Guopeng Zhao 1, 2 and Zhiqi Shen 1 1 Nanyang Technological University, Singapore 639798 2 HP Labs Singapore, Singapore

More information

STUDY AND SIMULATION OF A DISTRIBUTED REAL-TIME FAULT-TOLERANCE WEB MONITORING SYSTEM

STUDY AND SIMULATION OF A DISTRIBUTED REAL-TIME FAULT-TOLERANCE WEB MONITORING SYSTEM STUDY AND SIMULATION OF A DISTRIBUTED REAL-TIME FAULT-TOLERANCE WEB MONITORING SYSTEM Albert M. K. Cheng, Shaohong Fang Department of Computer Science University of Houston Houston, TX, 77204, USA http://www.cs.uh.edu

More information

Mobile Storage and Search Engine of Information Oriented to Food Cloud

Mobile Storage and Search Engine of Information Oriented to Food Cloud Advance Journal of Food Science and Technology 5(10): 1331-1336, 2013 ISSN: 2042-4868; e-issn: 2042-4876 Maxwell Scientific Organization, 2013 Submitted: May 29, 2013 Accepted: July 04, 2013 Published:

More information

Hadoop: A Framework for Data- Intensive Distributed Computing. CS561-Spring 2012 WPI, Mohamed Y. Eltabakh

Hadoop: A Framework for Data- Intensive Distributed Computing. CS561-Spring 2012 WPI, Mohamed Y. Eltabakh 1 Hadoop: A Framework for Data- Intensive Distributed Computing CS561-Spring 2012 WPI, Mohamed Y. Eltabakh 2 What is Hadoop? Hadoop is a software framework for distributed processing of large datasets

More information

Universidad Simón Bolívar

Universidad Simón Bolívar Cardinale, Yudith Figueira, Carlos Hernández, Emilio Baquero, Eduardo Berbín, Luis Bouza, Roberto Gamess, Eric García, Pedro Universidad Simón Bolívar In 1999, a couple of projects from USB received funding

More information

HPC Portal Development Platform with E-Business and HPC Portlets

HPC Portal Development Platform with E-Business and HPC Portlets HPC Portal Development Platform with E-Business and HPC Portlets CHIEN-HENG WU National Center for High-Performance Computing, Hsin-Chu, 300, Taiwan E-mail: garywu@nchc.org.tw Abstract HPC Portal Development

More information

High Level Design Distributed Network Traffic Controller

High Level Design Distributed Network Traffic Controller High Level Design Distributed Network Traffic Controller Revision Number: 1.0 Last date of revision: 2/2/05 22c:198 Johnson, Chadwick Hugh Change Record Revision Date Author Changes 1 Contents 1. Introduction

More information

MyCloudLab: An Interactive Web-based Management System for Cloud Computing Administration

MyCloudLab: An Interactive Web-based Management System for Cloud Computing Administration MyCloudLab: An Interactive Web-based Management System for Cloud Computing Administration Hoi-Wan Chan 1, Min Xu 2, Chung-Pan Tang 1, Patrick P. C. Lee 1 & Tsz-Yeung Wong 1, 1 Department of Computer Science

More information

Introduction to Cloud Computing

Introduction to Cloud Computing Discovery 2015: Cloud Computing Workshop June 20-24, 2011 Berkeley, CA Introduction to Cloud Computing Keith R. Jackson Lawrence Berkeley National Lab What is it? NIST Definition Cloud computing is a model

More information

Geoprocessing in Hybrid Clouds

Geoprocessing in Hybrid Clouds Geoprocessing in Hybrid Clouds Theodor Foerster, Bastian Baranski, Bastian Schäffer & Kristof Lange Institute for Geoinformatics, University of Münster, Germany {theodor.foerster; bastian.baranski;schaeffer;

More information

2) Xen Hypervisor 3) UEC

2) Xen Hypervisor 3) UEC 5. Implementation Implementation of the trust model requires first preparing a test bed. It is a cloud computing environment that is required as the first step towards the implementation. Various tools

More information

Parallel Data Mining and Assurance Service Model Using Hadoop in Cloud

Parallel Data Mining and Assurance Service Model Using Hadoop in Cloud Parallel Data Mining and Assurance Service Model Using Hadoop in Cloud Aditya Jadhav, Mahesh Kukreja E-mail: aditya.jadhav27@gmail.com & mr_mahesh_in@yahoo.co.in Abstract : In the information industry,

More information

A SURVEY ON MAPREDUCE IN CLOUD COMPUTING

A SURVEY ON MAPREDUCE IN CLOUD COMPUTING A SURVEY ON MAPREDUCE IN CLOUD COMPUTING Dr.M.Newlin Rajkumar 1, S.Balachandar 2, Dr.V.Venkatesakumar 3, T.Mahadevan 4 1 Asst. Prof, Dept. of CSE,Anna University Regional Centre, Coimbatore, newlin_rajkumar@yahoo.co.in

More information

Log Mining Based on Hadoop s Map and Reduce Technique

Log Mining Based on Hadoop s Map and Reduce Technique Log Mining Based on Hadoop s Map and Reduce Technique ABSTRACT: Anuja Pandit Department of Computer Science, anujapandit25@gmail.com Amruta Deshpande Department of Computer Science, amrutadeshpande1991@gmail.com

More information

Operating Stoop for Efficient Parallel Data Processing In Cloud

Operating Stoop for Efficient Parallel Data Processing In Cloud RESEARCH INVENTY: International Journal of Engineering and Science ISBN: 2319-6483, ISSN: 2278-4721, Vol. 1, Issue 10 (December 2012), PP 11-15 www.researchinventy.com Operating Stoop for Efficient Parallel

More information

PRIVACY PRESERVATION ALGORITHM USING EFFECTIVE DATA LOOKUP ORGANIZATION FOR STORAGE CLOUDS

PRIVACY PRESERVATION ALGORITHM USING EFFECTIVE DATA LOOKUP ORGANIZATION FOR STORAGE CLOUDS PRIVACY PRESERVATION ALGORITHM USING EFFECTIVE DATA LOOKUP ORGANIZATION FOR STORAGE CLOUDS Amar More 1 and Sarang Joshi 2 1 Department of Computer Engineering, Pune Institute of Computer Technology, Maharashtra,

More information

Deploying Business Virtual Appliances on Open Source Cloud Computing

Deploying Business Virtual Appliances on Open Source Cloud Computing International Journal of Computer Science and Telecommunications [Volume 3, Issue 4, April 2012] 26 ISSN 2047-3338 Deploying Business Virtual Appliances on Open Source Cloud Computing Tran Van Lang 1 and

More information

PERFORMANCE ANALYSIS OF KERNEL-BASED VIRTUAL MACHINE

PERFORMANCE ANALYSIS OF KERNEL-BASED VIRTUAL MACHINE PERFORMANCE ANALYSIS OF KERNEL-BASED VIRTUAL MACHINE Sudha M 1, Harish G M 2, Nandan A 3, Usha J 4 1 Department of MCA, R V College of Engineering, Bangalore : 560059, India sudha.mooki@gmail.com 2 Department

More information

Hadoop Setup. 1 Cluster

Hadoop Setup. 1 Cluster In order to use HadoopUnit (described in Sect. 3.3.3), a Hadoop cluster needs to be setup. This cluster can be setup manually with physical machines in a local environment, or in the cloud. Creating a

More information

Stock Trader System. Architecture Description

Stock Trader System. Architecture Description Stock Trader System Architecture Description Michael Stevens mike@mestevens.com http://www.mestevens.com Table of Contents 1. Purpose of Document 2 2. System Synopsis 2 3. Current Situation and Environment

More information

A Open Source Tools & Comparative Study on Cloud Computing

A Open Source Tools & Comparative Study on Cloud Computing International Journal of Engineering Research and Development e-issn: 2278-067X, p-issn: 2278-800X, www.ijerd.com Volume 6, Issue 7 (April 2013), PP.69-73 A Open Source Tools & Comparative Study on Cloud

More information

Manifest for Big Data Pig, Hive & Jaql

Manifest for Big Data Pig, Hive & Jaql Manifest for Big Data Pig, Hive & Jaql Ajay Chotrani, Priyanka Punjabi, Prachi Ratnani, Rupali Hande Final Year Student, Dept. of Computer Engineering, V.E.S.I.T, Mumbai, India Faculty, Computer Engineering,

More information

Efficiency of Web Based SAX XML Distributed Processing

Efficiency of Web Based SAX XML Distributed Processing Efficiency of Web Based SAX XML Distributed Processing R. Eggen Computer and Information Sciences Department University of North Florida Jacksonville, FL, USA A. Basic Computer and Information Sciences

More information

irods and Metadata survey Version 0.1 Date March Abhijeet Kodgire akodgire@indiana.edu 25th

irods and Metadata survey Version 0.1 Date March Abhijeet Kodgire akodgire@indiana.edu 25th irods and Metadata survey Version 0.1 Date 25th March Purpose Survey of Status Complete Author Abhijeet Kodgire akodgire@indiana.edu Table of Contents 1 Abstract... 3 2 Categories and Subject Descriptors...

More information

Dr Markus Hagenbuchner markus@uow.edu.au CSCI319. Introduction to Cloud Computing

Dr Markus Hagenbuchner markus@uow.edu.au CSCI319. Introduction to Cloud Computing Dr Markus Hagenbuchner markus@uow.edu.au CSCI319 Introduction to Cloud Computing CSCI319 Chapter 1 Page: 1 of 10 Content and Objectives 1. Introduce to cloud computing 2. Develop and understanding to how

More information

Comparison of Several Cloud Computing Platforms

Comparison of Several Cloud Computing Platforms Second International Symposium on Information Science and Engineering Comparison of Several Cloud Computing Platforms Junjie Peng School of computer science & High performance computing center Shanghai

More information

Neptune. A Domain Specific Language for Deploying HPC Software on Cloud Platforms. Chris Bunch Navraj Chohan Chandra Krintz Khawaja Shams

Neptune. A Domain Specific Language for Deploying HPC Software on Cloud Platforms. Chris Bunch Navraj Chohan Chandra Krintz Khawaja Shams Neptune A Domain Specific Language for Deploying HPC Software on Cloud Platforms Chris Bunch Navraj Chohan Chandra Krintz Khawaja Shams ScienceCloud 2011 @ San Jose, CA June 8, 2011 Cloud Computing Three

More information

The WAMS Power Data Processing based on Hadoop

The WAMS Power Data Processing based on Hadoop Proceedings of 2012 4th International Conference on Machine Learning and Computing IPCSIT vol. 25 (2012) (2012) IACSIT Press, Singapore The WAMS Power Data Processing based on Hadoop Zhaoyang Qu 1, Shilin

More information

Alfresco Enterprise on AWS: Reference Architecture

Alfresco Enterprise on AWS: Reference Architecture Alfresco Enterprise on AWS: Reference Architecture October 2013 (Please consult http://aws.amazon.com/whitepapers/ for the latest version of this paper) Page 1 of 13 Abstract Amazon Web Services (AWS)

More information

A Tool for Evaluation and Optimization of Web Application Performance

A Tool for Evaluation and Optimization of Web Application Performance A Tool for Evaluation and Optimization of Web Application Performance Tomáš Černý 1 cernyto3@fel.cvut.cz Michael J. Donahoo 2 jeff_donahoo@baylor.edu Abstract: One of the main goals of web application

More information

INTRODUCTION TO JAVA PROGRAMMING LANGUAGE

INTRODUCTION TO JAVA PROGRAMMING LANGUAGE INTRODUCTION TO JAVA PROGRAMMING LANGUAGE Today Java programming language is one of the most popular programming language which is used in critical applications like stock market trading system on BSE,

More information

Role of Cloud Computing in Big Data Analytics Using MapReduce Component of Hadoop

Role of Cloud Computing in Big Data Analytics Using MapReduce Component of Hadoop Role of Cloud Computing in Big Data Analytics Using MapReduce Component of Hadoop Kanchan A. Khedikar Department of Computer Science & Engineering Walchand Institute of Technoloy, Solapur, Maharashtra,

More information

Grid Computing Vs. Cloud Computing

Grid Computing Vs. Cloud Computing International Journal of Information and Computation Technology. ISSN 0974-2239 Volume 3, Number 6 (2013), pp. 577-582 International Research Publications House http://www. irphouse.com /ijict.htm Grid

More information

Design of Electric Energy Acquisition System on Hadoop

Design of Electric Energy Acquisition System on Hadoop , pp.47-54 http://dx.doi.org/10.14257/ijgdc.2015.8.5.04 Design of Electric Energy Acquisition System on Hadoop Yi Wu 1 and Jianjun Zhou 2 1 School of Information Science and Technology, Heilongjiang University

More information

A Study on Architecture of Private Cloud Based on Virtual Technology

A Study on Architecture of Private Cloud Based on Virtual Technology A Study on Architecture of Private Cloud Based on Virtual Technology Zhao Huaming National Science Library, Chinese Academy of Sciences Beijing, China Abstract with the cloud service platform of National

More information

LARGE-SCALE DATA PROCESSING USING MAPREDUCE IN CLOUD COMPUTING ENVIRONMENT

LARGE-SCALE DATA PROCESSING USING MAPREDUCE IN CLOUD COMPUTING ENVIRONMENT LARGE-SCALE DATA PROCESSING USING MAPREDUCE IN CLOUD COMPUTING ENVIRONMENT Samira Daneshyar 1 and Majid Razmjoo 2 1,2 School of Computer Science, Centre of Software Technology and Management (SOFTEM),

More information

Heterogeneous Workload Consolidation for Efficient Management of Data Centers in Cloud Computing

Heterogeneous Workload Consolidation for Efficient Management of Data Centers in Cloud Computing Heterogeneous Workload Consolidation for Efficient Management of Data Centers in Cloud Computing Deep Mann ME (Software Engineering) Computer Science and Engineering Department Thapar University Patiala-147004

More information

Performance Analysis of Cloud-Based Applications

Performance Analysis of Cloud-Based Applications Performance Analysis of Cloud-Based Applications Peter Budai and Balazs Goldschmidt Budapest University of Technology and Economics, Department of Control Engineering and Informatics, Budapest, Hungary

More information

File S1: Supplementary Information of CloudDOE

File S1: Supplementary Information of CloudDOE File S1: Supplementary Information of CloudDOE Table of Contents 1. Prerequisites of CloudDOE... 2 2. An In-depth Discussion of Deploying a Hadoop Cloud... 2 Prerequisites of deployment... 2 Table S1.

More information

A PERFORMANCE ANALYSIS of HADOOP CLUSTERS in OPENSTACK CLOUD and in REAL SYSTEM

A PERFORMANCE ANALYSIS of HADOOP CLUSTERS in OPENSTACK CLOUD and in REAL SYSTEM A PERFORMANCE ANALYSIS of HADOOP CLUSTERS in OPENSTACK CLOUD and in REAL SYSTEM Ramesh Maharjan and Manoj Shakya Department of Computer Science and Engineering Dhulikhel, Kavre, Nepal lazymesh@gmail.com,

More information

Hadoop and Map-Reduce. Swati Gore

Hadoop and Map-Reduce. Swati Gore Hadoop and Map-Reduce Swati Gore Contents Why Hadoop? Hadoop Overview Hadoop Architecture Working Description Fault Tolerance Limitations Why Map-Reduce not MPI Distributed sort Why Hadoop? Existing Data

More information

benchmarking Amazon EC2 for high-performance scientific computing

benchmarking Amazon EC2 for high-performance scientific computing Edward Walker benchmarking Amazon EC2 for high-performance scientific computing Edward Walker is a Research Scientist with the Texas Advanced Computing Center at the University of Texas at Austin. He received

More information

Review of Cloud Computing Architecture for Social Computing

Review of Cloud Computing Architecture for Social Computing Review of Cloud Computing Architecture for Social Computing Vaishali D. Dhale M.Tech Student Dept. of Computer Science P.I.E.T. Nagpur A. R. Mahajan Professor & HOD Dept. of Computer Science P.I.E.T. Nagpur

More information

Building a Scalable News Feed Web Service in Clojure

Building a Scalable News Feed Web Service in Clojure Building a Scalable News Feed Web Service in Clojure This is a good time to be in software. The Internet has made communications between computers and people extremely affordable, even at scale. Cloud

More information

Keywords: Cloudsim, MIPS, Gridlet, Virtual machine, Data center, Simulation, SaaS, PaaS, IaaS, VM. Introduction

Keywords: Cloudsim, MIPS, Gridlet, Virtual machine, Data center, Simulation, SaaS, PaaS, IaaS, VM. Introduction Vol. 3 Issue 1, January-2014, pp: (1-5), Impact Factor: 1.252, Available online at: www.erpublications.com Performance evaluation of cloud application with constant data center configuration and variable

More information

RingStor User Manual. Version 2.1 Last Update on September 17th, 2015. RingStor, Inc. 197 Route 18 South, Ste 3000 East Brunswick, NJ 08816.

RingStor User Manual. Version 2.1 Last Update on September 17th, 2015. RingStor, Inc. 197 Route 18 South, Ste 3000 East Brunswick, NJ 08816. RingStor User Manual Version 2.1 Last Update on September 17th, 2015 RingStor, Inc. 197 Route 18 South, Ste 3000 East Brunswick, NJ 08816 Page 1 Table of Contents 1 Overview... 5 1.1 RingStor Data Protection...

More information

Big Data Storage Architecture Design in Cloud Computing

Big Data Storage Architecture Design in Cloud Computing Big Data Storage Architecture Design in Cloud Computing Xuebin Chen 1, Shi Wang 1( ), Yanyan Dong 1, and Xu Wang 2 1 College of Science, North China University of Science and Technology, Tangshan, Hebei,

More information

http://www.paper.edu.cn

http://www.paper.edu.cn 5 10 15 20 25 30 35 A platform for massive railway information data storage # SHAN Xu 1, WANG Genying 1, LIU Lin 2** (1. Key Laboratory of Communication and Information Systems, Beijing Municipal Commission

More information

SOFTWARE ARCHITECTURE FOR FIJI NATIONAL UNIVERSITY CAMPUS INFORMATION SYSTEMS

SOFTWARE ARCHITECTURE FOR FIJI NATIONAL UNIVERSITY CAMPUS INFORMATION SYSTEMS SOFTWARE ARCHITECTURE FOR FIJI NATIONAL UNIVERSITY CAMPUS INFORMATION SYSTEMS Bimal Aklesh Kumar Department of Computer Science and Information Systems Fiji National University Fiji Islands bimal.kumar@fnu.ac.fj

More information

S 3 Monitor Version 1.0 Specifications and Integration Plan

S 3 Monitor Version 1.0 Specifications and Integration Plan S 3 Monitor Version 1.0 Specifications and Integration Plan 1 Copyright c 2011 Hewlett Packard Copyright c 2011 Purdue University Permission is hereby granted, free of charge, to any person obtaining a

More information

Hadoop IST 734 SS CHUNG

Hadoop IST 734 SS CHUNG Hadoop IST 734 SS CHUNG Introduction What is Big Data?? Bulk Amount Unstructured Lots of Applications which need to handle huge amount of data (in terms of 500+ TB per day) If a regular machine need to

More information

marlabs driving digital agility WHITEPAPER Big Data and Hadoop

marlabs driving digital agility WHITEPAPER Big Data and Hadoop marlabs driving digital agility WHITEPAPER Big Data and Hadoop Abstract This paper explains the significance of Hadoop, an emerging yet rapidly growing technology. The prime goal of this paper is to unveil

More information

The Comprehensive Performance Rating for Hadoop Clusters on Cloud Computing Platform

The Comprehensive Performance Rating for Hadoop Clusters on Cloud Computing Platform The Comprehensive Performance Rating for Hadoop Clusters on Cloud Computing Platform Fong-Hao Liu, Ya-Ruei Liou, Hsiang-Fu Lo, Ko-Chin Chang, and Wei-Tsong Lee Abstract Virtualization platform solutions

More information

Multilingual Interface for Grid Market Directory Services: An Experience with Supporting Tamil

Multilingual Interface for Grid Market Directory Services: An Experience with Supporting Tamil Multilingual Interface for Grid Market Directory Services: An Experience with Supporting Tamil S.Thamarai Selvi *, Rajkumar Buyya **, M.R. Rajagopalan #, K.Vijayakumar *, G.N.Deepak * * Department of Information

More information

Learning More About Load Testing

Learning More About Load Testing Welcome to this introduction to application performance testing and the LoadRunner load testing solution. This document provides a short overview of LoadRunner s features, and includes the following sections:

More information

A REVIEW PAPER ON THE HADOOP DISTRIBUTED FILE SYSTEM

A REVIEW PAPER ON THE HADOOP DISTRIBUTED FILE SYSTEM A REVIEW PAPER ON THE HADOOP DISTRIBUTED FILE SYSTEM Sneha D.Borkar 1, Prof.Chaitali S.Surtakar 2 Student of B.E., Information Technology, J.D.I.E.T, sborkar95@gmail.com Assistant Professor, Information

More information

Li Sheng. lsheng1@uci.edu. Nowadays, with the booming development of network-based computing, more and more

Li Sheng. lsheng1@uci.edu. Nowadays, with the booming development of network-based computing, more and more 36326584 Li Sheng Virtual Machine Technology for Cloud Computing Li Sheng lsheng1@uci.edu Abstract: Nowadays, with the booming development of network-based computing, more and more Internet service vendors

More information

CDH installation & Application Test Report

CDH installation & Application Test Report CDH installation & Application Test Report He Shouchun (SCUID: 00001008350, Email: she@scu.edu) Chapter 1. Prepare the virtual machine... 2 1.1 Download virtual machine software... 2 1.2 Plan the guest

More information

Developing Scalable Smart Grid Infrastructure to Enable Secure Transmission System Control

Developing Scalable Smart Grid Infrastructure to Enable Secure Transmission System Control Developing Scalable Smart Grid Infrastructure to Enable Secure Transmission System Control EP/K006487/1 UK PI: Prof Gareth Taylor (BU) China PI: Prof Yong-Hua Song (THU) Consortium UK Members: Brunel University

More information

Cloud Computing For Distributed University Campus: A Prototype Suggestion

Cloud Computing For Distributed University Campus: A Prototype Suggestion Cloud Computing For Distributed University Campus: A Prototype Suggestion Mehmet Fatih Erkoç, Serhat Bahadir Kert mferkoc@yildiz.edu.tr, sbkert@yildiz.edu.tr Yildiz Technical University (Turkey) Abstract

More information

Hadoop Technology for Flow Analysis of the Internet Traffic

Hadoop Technology for Flow Analysis of the Internet Traffic Hadoop Technology for Flow Analysis of the Internet Traffic Rakshitha Kiran P PG Scholar, Dept. of C.S, Shree Devi Institute of Technology, Mangalore, Karnataka, India ABSTRACT: Flow analysis of the internet

More information

Computer Virtualization in Practice

Computer Virtualization in Practice Computer Virtualization in Practice [ life between virtual and physical ] A. Németh University of Applied Sciences, Oulu, Finland andras.nemeth@students.oamk.fi ABSTRACT This paper provides an overview

More information

HPC PORTAL DEVELOPMENT PLATFORM

HPC PORTAL DEVELOPMENT PLATFORM HPC PORTAL DEVELOPMENT PLATFORM Chien-Heng Wu, National Center for High-Performance Computing, garywu@nchc.org.tw ABSTRACT In the world of information technology, enterprise applications must be designed,

More information

Associate Professor, Department of CSE, Shri Vishnu Engineering College for Women, Andhra Pradesh, India 2

Associate Professor, Department of CSE, Shri Vishnu Engineering College for Women, Andhra Pradesh, India 2 Volume 6, Issue 3, March 2016 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Special Issue

More information

From Grid Computing to Cloud Computing & Security Issues in Cloud Computing

From Grid Computing to Cloud Computing & Security Issues in Cloud Computing From Grid Computing to Cloud Computing & Security Issues in Cloud Computing Rajendra Kumar Dwivedi Assistant Professor (Department of CSE), M.M.M. Engineering College, Gorakhpur (UP), India E-mail: rajendra_bhilai@yahoo.com

More information

Lecture 32 Big Data. 1. Big Data problem 2. Why the excitement about big data 3. What is MapReduce 4. What is Hadoop 5. Get started with Hadoop

Lecture 32 Big Data. 1. Big Data problem 2. Why the excitement about big data 3. What is MapReduce 4. What is Hadoop 5. Get started with Hadoop Lecture 32 Big Data 1. Big Data problem 2. Why the excitement about big data 3. What is MapReduce 4. What is Hadoop 5. Get started with Hadoop 1 2 Big Data Problems Data explosion Data from users on social

More information

Enhancing A Software Testing Tool to Validate the Web Services

Enhancing A Software Testing Tool to Validate the Web Services Enhancing A Software Testing Tool to Validate the Web Services Tanuj Wala 1, Aman Kumar Sharma 2 1 Research Scholar, Department of Computer Science, Himachal Pradesh University Shimla, India 2 Associate

More information

White Paper: 1) Architecture Objectives: The primary objective of this architecture is to meet the. 2) Architecture Explanation

White Paper: 1) Architecture Objectives: The primary objective of this architecture is to meet the. 2) Architecture Explanation White Paper: 1) Architecture Objectives: The primary objective of this architecture is to meet the following requirements (SLAs). Scalability and High Availability Modularity and Maintainability Extensibility

More information

Software design (Cont.)

Software design (Cont.) Package diagrams Architectural styles Software design (Cont.) Design modelling technique: Package Diagrams Package: A module containing any number of classes Packages can be nested arbitrarily E.g.: Java

More information

Research on Operation Management under the Environment of Cloud Computing Data Center

Research on Operation Management under the Environment of Cloud Computing Data Center , pp.185-192 http://dx.doi.org/10.14257/ijdta.2015.8.2.17 Research on Operation Management under the Environment of Cloud Computing Data Center Wei Bai and Wenli Geng Computer and information engineering

More information

Modeling Web Applications Using Java And XML Related Technologies

Modeling Web Applications Using Java And XML Related Technologies Modeling Web Applications Using Java And XML Related Technologies Sam Chung Computing & Stware Systems Institute Technology University Washington Tacoma Tacoma, WA 98402. USA chungsa@u.washington.edu Yun-Sik

More information

NanoMon: An Adaptable Sensor Network Monitoring Software

NanoMon: An Adaptable Sensor Network Monitoring Software NanoMon: An Adaptable Sensor Network Monitoring Software Misun Yu, Haeyong Kim, and Pyeongsoo Mah Embedded S/W Research Division Electronics and Telecommunications Research Institute (ETRI) Gajeong-dong

More information

A programming model in Cloud: MapReduce

A programming model in Cloud: MapReduce A programming model in Cloud: MapReduce Programming model and implementation developed by Google for processing large data sets Users specify a map function to generate a set of intermediate key/value

More information

MODIFIED BITTORRENT PROTOCOL AND ITS APPLICATION IN CLOUD COMPUTING ENVIRONMENT

MODIFIED BITTORRENT PROTOCOL AND ITS APPLICATION IN CLOUD COMPUTING ENVIRONMENT MODIFIED BITTORRENT PROTOCOL AND ITS APPLICATION IN CLOUD COMPUTING ENVIRONMENT Soumya V L 1 and Anirban Basu 2 1 Dept of CSE, East Point College of Engineering & Technology, Bangalore, Karnataka, India

More information

Interconnect Efficiency of Tyan PSC T-630 with Microsoft Compute Cluster Server 2003

Interconnect Efficiency of Tyan PSC T-630 with Microsoft Compute Cluster Server 2003 Interconnect Efficiency of Tyan PSC T-630 with Microsoft Compute Cluster Server 2003 Josef Pelikán Charles University in Prague, KSVI Department, Josef.Pelikan@mff.cuni.cz Abstract 1 Interconnect quality

More information

Open Cloud System. (Integration of Eucalyptus, Hadoop and AppScale into deployment of University Private Cloud)

Open Cloud System. (Integration of Eucalyptus, Hadoop and AppScale into deployment of University Private Cloud) Open Cloud System (Integration of Eucalyptus, Hadoop and into deployment of University Private Cloud) Thinn Thu Naing University of Computer Studies, Yangon 25 th October 2011 Open Cloud System University

More information

Hadoop Scheduler w i t h Deadline Constraint

Hadoop Scheduler w i t h Deadline Constraint Hadoop Scheduler w i t h Deadline Constraint Geetha J 1, N UdayBhaskar 2, P ChennaReddy 3,Neha Sniha 4 1,4 Department of Computer Science and Engineering, M S Ramaiah Institute of Technology, Bangalore,

More information

Last Updated: July 2011. STATISTICA Enterprise Server Security

Last Updated: July 2011. STATISTICA Enterprise Server Security Last Updated: July 2011 STATISTICA Enterprise Server Security STATISTICA Enterprise Server Security Page 2 of 10 Table of Contents Executive Summary... 3 Introduction to STATISTICA Enterprise Server...

More information

Management of VMware ESXi. on HP ProLiant Servers

Management of VMware ESXi. on HP ProLiant Servers Management of VMware ESXi on W H I T E P A P E R Table of Contents Introduction................................................................ 3 HP Systems Insight Manager.................................................

More information

SPACK FIREWALL RESTRICTION WITH SECURITY IN CLOUD OVER THE VIRTUAL ENVIRONMENT

SPACK FIREWALL RESTRICTION WITH SECURITY IN CLOUD OVER THE VIRTUAL ENVIRONMENT SPACK FIREWALL RESTRICTION WITH SECURITY IN CLOUD OVER THE VIRTUAL ENVIRONMENT V. Devi PG Scholar, Department of CSE, Indira Institute of Engineering & Technology, India. J. Chenni Kumaran Associate Professor,

More information

Designing and Embodiment of Software that Creates Middle Ware for Resource Management in Embedded System

Designing and Embodiment of Software that Creates Middle Ware for Resource Management in Embedded System , pp.97-108 http://dx.doi.org/10.14257/ijseia.2014.8.6.08 Designing and Embodiment of Software that Creates Middle Ware for Resource Management in Embedded System Suk Hwan Moon and Cheol sick Lee Department

More information

Virtual Machines. www.viplavkambli.com

Virtual Machines. www.viplavkambli.com 1 Virtual Machines A virtual machine (VM) is a "completely isolated guest operating system installation within a normal host operating system". Modern virtual machines are implemented with either software

More information

University of Huddersfield Repository

University of Huddersfield Repository University of Huddersfield Repository Wei, Guo and Joan, Lu Investigation into Mobile Learning Framework in Cloud Computing Platform Original Citation Wei, Guo and Joan, Lu (2014) Investigation into Mobile

More information

Hadoop Submitted in partial fulfillment of the requirement for the award of degree of Bachelor of Technology in Computer Science

Hadoop Submitted in partial fulfillment of the requirement for the award of degree of Bachelor of Technology in Computer Science A Seminar report On Hadoop Submitted in partial fulfillment of the requirement for the award of degree of Bachelor of Technology in Computer Science SUBMITTED TO: www.studymafia.org SUBMITTED BY: www.studymafia.org

More information